Careers

Modern Analytics provides a dynamic and varied work environment that encourages creativity, responsibility and learning. The success of the company is based on the quality of its work products and the caliber of its staff.

Do you want to be a part of a team that is an established leader in data integration, business intelligence and customer analytics? Are you prepared to get the job done?

Then you might be a perfect match to become a member of our team.

If your passion is for customer service, your skills and experience have been gained in the fast-moving world of marketing data analysis, and our work fascinates you, then we would like to hear from you.

Please forward a copy of your resume, with a brief biographical outline to: jobs@modernanalytics.com.

Principals only, no recruiters. We look forward to talking with you.

Job Openings

Senior Analytics Consultant

This full-time consulting role provides thought leadership and hands-on support for day-to-day analytic operations to key clients.

Primary Responsibilities

  • Support existing and develop improved advanced statistical models to drive business including core valuation processes.
  • Optimize existing analytic processes to increase completion speed and efficiency of team.
  • Develop upfront visit and impression forecasts and in-year updates.
  • Traffic and impression performance reporting, sales insights, and analysis to support Financial reporting.
  • Supervise/manage/direct the selection, training, development, appraisal and work assignments of personnel.
  • Up to 3 days/week in Orange County with remaining time in San Diego or remote.
  • Performs other related duties as assigned.

Qualifications

  • Must have at least 10 years’ experience performing advanced quantitative analyses.
  • Strong background building and leading advanced analytic teams.
  • Ability to manipulate, analyze, and interpret terabytes of data. Ability to organize findings and translate into actionable insights using original or innovative techniques or style.
  • Ability to apply advanced statistical methodologies such as mixed model (random and fixed effects), simultaneous equations, time series based methods (ARIMA, Causal Autoregressive Mixed Models), neural networks, and multinomial discrete choice. Ability to apply mathematical operations to such tasks as cluster analytics, sampling theory and design of experiments, analysis of variance, correlation techniques, and factor analysis.
  • Utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (word-processing, spreadsheet, graphics, etc.).
  • Intermediate to advanced experience in Statistical Software (e.g. SAS, SPSS) and database applications.
  • Master’s degree (M. A.) or equivalent; or four to ten years related experience and/or training; or equivalent combination of education and experience.
  • Utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (word-processing, spreadsheet, graphics, etc.).
  • Working knowledge of SAS and relational database skills.
  • Adobe suite of products and services.
  • Micro strategies or similar reporting and analytic software.
  • Ability to read, analyze, and interpret the most complex documents. Ability to respond effectively to the most sensitive inquiries or complaints. Ability to write speeches and articles using original or innovative techniques or style. Ability to make effective and persuasive speeches and presentations on controversial or complex topics to top management, public groups, and/or boards of directors.
  • Ability to comprehend and apply principles of advanced calculus, modern algebra, and advanced statistical theory. Ability to work with concepts such as limits, rings, quadratic and differential equations, and proofs of theorems.
  • Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, musical notes, etc.,) in its most difficult phases. Ability to deal with a variety of abstract and concrete variables.

Additional Information

  • Please send resumes and cover letters to: jobs@modernanalytics.com
  • Please put the following as the email subject: Senior Analytics Consultant
  • Relocation expenses will not be provided.
  • To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

VP Analytics

Primary Responsibilities

  • Build analytical forecasting models and evaluate results
  • Write reports, create presentations, tables and graphs for analytical projects
  • Interfacing with both clients and internal team members in a professional, effective way
  • Act as a resource for statistical issues such as sampling and data analysis
  • Manage the exploration, development and implementation of new methods
  • Find solutions that create repeatable value and revenue stream
  • Maintain up to date understanding of industry trends and technical developments that affect target markets
  • Communicate statistical ideas and interpret statistical results to non-statisticians effectively
  • Create technology solutions related materials in for the form of PowerPoint slides, Visio diagrams, or other appropriate formats
  • Assist in the maintenance, monitoring, and enhancement of current statistical modeling functions and software, including re-estimation of model coefficients, scoring of file data, and sample size calculation

Requirements

  • Undergraduate in United States
  • Preferred degree in either: Applied Statistics, Mathematics, Economics
  • Masters Degree; PhD preferred
  • 10 – 15 years experience building models
  • Proficient in SAS
  • Experience with fuzzy logic, neural nets, logistical regression
  • Pragmatic thinker who excels in fast paced environment
  • Excellent client facing communication skills

Preferences

  • Analytical skills to evaluate, understand, and interpret data from client’s perspective
  • Well versed in areas of hypothesis testing, response surface methodology, mixed model analysis, multivariate analysis (cluster and factor analysis), sampling/stratification
  • Ability to apply knowledge across multiple industries including, but not limited to, marketing, finance, insurance, risk.

Additional Information

  • To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

SAS Programmer

In your role for the company, you will provide software consulting services, which includes solution architecture, design, and implementation at customer sites. You will develop effective end-to-end data quality solutions, based upon customer project needs; provide consistent, reliable delivery of targeted project results, posturing as an expert in the application and use of specific methodologies, best practices, and technologies.

Primary Responsibilities

  • SAS programming required for data analysis and data preparation.
  • Build analytic forecasting models and evaluate results.
  • Write reports and create presentations for analytical projects.
  • Generating tables, listings, and graphs as required.
  • Interacting with others to ensure a high level of client satisfaction through successful execution of projects.

Requirements

  • B.S. or M.S. degree in computer science, business or a related field.
  • A minimum of five (5) years professional experience in SAS programming.
  • Proficiency with base SAS, SAS/STAT and SAS macros.
  • Ability to work in a fast-paced, team-oriented environment.
  • Computer proficiency is mandatory.
  • Excellent interpersonal and communication skills (written and verbal).
  • Possess a positive attitude, highly motivated and work well with others.
  • Analytical skills to evaluate, understand, and interpret data from client’s perspective.

Preferences

  • Programming expertise in one of the following: VB 5+ years, SAS 5+ years, or SPSS 5+ years.
  • SAS 9.x certification.
  • Industry expertise in financial services, manufacturing, pharmaceuticals, telecommunications, and/or retail.
  • Domain expertise in data quality, master data management, ETL, BI/DW, CDI, application integration, and/or data migration.
  • Experience in SQL and DB applications, sizing/performance tuning.
  • Familiarity with data quality tools such as SAS EDI, DataFlux, Trillium, First logic.
  • Familiarity with enterprise business intelligence systems such as SAS EBI.
  • Working knowledge of relational databases such as Oracle, Db2, SQL Server and Teradata.
  • Strong experience and proficiency in at least one relational database such as Oracle, DB2 and Teradata
  • Expert understanding of data warehousing concepts and best practices
  • Working knowledge of UNIX system administration, performance monitoring and evaluation

Additional Information

  • To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

Data Analyst

Primary Responsibilities

  • Primarily responsible for using data extraction tools such as SAS, SQL and Excel to support modeling work of senior statisticians and to answer client business model questions
  • Collecting, organizing, and analyzing a wide variety of data (with SAS)
  • SAS programming for data analysis and data preparation.
  • Identifying trends in data and make recommendations to enhance model performance and identify data issues.
  • Ad hoc analysis, such as: generating tables, listings, and graphs as required.
  • Interacting with others to ensure a high level of client satisfaction through successful execution of projects.

Requirements

  • Bachelor’s degree, quantitative field preferred
  • 1-2 years’ experience in an analytical / quantitative role, or equivalent education and experience
  • Proficiency in SAS, SQL and Excel
  • Candidates with a degree in Economics, Computer Science, Statistics or Mathematics are encouraged to apply.
  • Proficiency with MS Office
  • Possess a positive attitude, highly motivated and work well with others.

Additional Information

  • Please send resumes and cover letters to: jobs@modernanalytics.com
  • Please put the following as the email subject: Data Analyst.
  • Please include salary expectations. Resumes without salary expectations will not be considered.
  • Relocation expenses will not be provided.
  • To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

Statistician/SAS Programmer

This full-time consulting role works closely with clients during the development and implementation of statistical, score-based, and empirical models to provide high-quality statistical modeling support.

Primary Responsibilities

  • Collecting, organizing, and analyzing a wide variety of data (with SAS) to support modeling work and to answer client business model questions.
  • Over time, the analyst should become an expert in implementing Modern Analytics’ novel product Model Factory as a solution to meet clients’ business analytics needs and ultimately should be capable of leading client projects without much supervision.
  • SAS programming for data analysis and data preparation.
  • Building predictive and forecasting models and evaluating results.
  • Writing reports and creating presentations for analytical projects.
  • Ad hoc analysis, such as: generating tables, listings, and graphs as required.
  • Interacting with others to ensure a high level of client satisfaction through successful execution of projects.
  • Up to 3 days/week in Orange County with remaining time in San Diego or remote.
  • Performs other related duties as assigned.

Qualifications

  • Applicants should have strong knowledge of some or all of the following: logistic regression, categorical data analysis, ANOVA, advanced regression methods, and times series.
  • Successful applicant should be comfortable discussing the academic merits of various statistical methods.
  • Undergraduate degree, Master’s degree a plus, in statistics, economics, or a quantitative science, with substantial coursework in statistics and experimental design
  • 1+ year of professional statistical/analytical experience working with large datasets.
  • Proficiency with base SAS and SAS/STAT (at least 2 years of experience or base certification). The interview will include a short SAS exam to ensure SAS programming knowledge.
  • Familiarity with the logistic regressions, general linear models, ANOVA and time series.
  • Proficiency with MS Office.
  • Possess a positive attitude, highly motivated and work well with others.

Additional Information

  • Please send resumes and cover letters to: jobs@modernanalytics.com
  • Please put the following as the email subject: Statistician/SAS Programmer.
  • Relocation expenses will not be provided.
  • To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

Intermediate Statistician/SAS Programmer

This full-time consulting role works closely with clients during the development and implementation of statistical, score-based, and empirical models to provide high-quality statistical modeling support.

Primary Responsibilities

  • Collecting, organizing, and analyzing a wide variety of data (with SAS) to support modeling work and to answer client business model questions.
  • Over time, the analyst should become an expert in implementing Modern Analytics’ novel product Model Factory as a solution to meet clients’ business analytics needs and should be capable of leading client projects without much supervision.
  • SAS programming for data analysis and data preparation.
  • Building predictive and forecasting models and evaluating results.
  • Writing reports and creating presentations for analytical projects.
  • Ad hoc analysis, such as: generating tables, listings, and graphs as required.
  • Interacting with others to ensure a high level of client satisfaction through successful execution of projects.
  • Up to 3 days/week in Orange County with remaining time in San Diego or remote.
  • Performs other related duties as assigned.

Qualifications

  • Applicants should have strong knowledge of some or all of the following: logistic regression, categorical data analysis, ANOVA, advanced regression methods, and times series.
  • Successful applicant should be comfortable discussing the academic merits of various statistical methods.
  • Undergraduate degree, preferred Master’s degree in statistics, economics, or a quantitative science, with substantial coursework in statistics and experimental design.
  • 2+ years statistical or analytic experience with a financial services, pharmaceutical, consulting, or biotechnology firm.
  • Proficiency with base SAS and SAS/STAT (at least 2 years of experience or base certification) or V7 or higher-certified. The interview will include a short SAS exam to ensure SAS programming knowledge.
  • Familiarity with the logistic regressions, general linear models, ANOVA and time series.
  • Proficiency with MS Office.
  • Possess a positive attitude, highly motivated and work well with others.

Additional Information

  • Please send resumes and cover letters to: jobs@modernanalytics.com
  • Please put the following as the email subject: Intermediate Statistician/SAS Programmer.
  • Relocation expenses will not be provided.
  • To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

SAS ETL/Data Integration Specialist

In your role for the Company, you will provide software consulting services, which include design, construct and test of ETL processes, as well as reports and cubes using SAS DI and BI tools. You will develop effective end-to-end solutions, based upon customer project needs; provide consistent, reliable delivery of targeted project results, posturing as an expert in the application and use of specific methodologies, best practices, and technologies.

Requirements

  • Bachelor’s degree in computer science, Mathematics, or other closely related field.
  • 3+ years of work experience developing enterprise solutions in technology areas, such as application development, database management systems, data warehousing, and/or integration.
  • SAS software experience (programming 5 years+ and SAS’ Data Integration Studio or EGuide).
  • SAS software experience with SAS’ EBI suite tools.
  • Understanding of cube structures.
  • Industry experience on Data Management (data integration, metadata, traditional ETL, data quality)and/or Reporting (business intelligence, querying and reporting, web reporting)
  • Ability to travel 25-50% of the time as business needs require.
  • Excellent verbal and written communication skills.
  • Ability to communicate with users of various technical backgrounds.
  • Knowledge of other SAS software tools, techniques and methodologies.
  • Ability to work and learn independently and as part of a team.

Preferences

  • Industry expertise in financial services, manufacturing, and/or retail.
  • Working knowledge of relational databases such as Oracle and SQL Server.
  • Understanding of data warehousing concepts and best practices.

Additional Information

  • To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

MDM Solution Consultant/System Architect

In your role for the Company, you will provide services and solution development, which includes solution architecture design, data analysis, data quality routines and implementation at customer sites. You will develop effective end-to-end data quality solutions, based upon customer project needs; provide consistent, reliable delivery of targeted project results, posturing as an expert in the application and use of specific methodologies, best practices, and technologies.

Requirements

  • Bachelor’s degree in computer science, math, business or a related field.
  • Working knowledge of relational databases such as Oracle, Db2, SQL Server or Teradata.
  • Programming knowledge and experience of 3GLs or 4GLs.
  • 2+ years of work experience in a customer-facing role, designing and developing enterprise solutions in technology areas, such as application development, database management systems, data warehousing, and/or integration.
  • Ability to travel up to 30 percent of the time.
  • Think outside the box capability.
  • Excellent customer-facing skills.
  • Excellent verbal and written communication skills.
  • Ability to communicate with users of various technical backgrounds.

Preferences

  • Programming expertise in one of the following: VB 3+ years, C 3+, Java 3+ SAS 2+ years, or SPSS 2+ years.
  • Industry expertise in financial services, manufacturing, pharmaceuticals, telecommunications, and/or retail.
  • Domain expertise in data quality, master data management, ETL, BI/DW, application integration, and/or data migration.
  • Experience in SQL and DB applications, sizing/performance tuning.
  • Familiarity with data quality tools such as SAS EDI, DataFlux, Trillium, First logic.
  • Experience and proficiency in relational database such as Oracle, DB2 and Teradata, etc.
  • Understanding of data warehousing concepts and best practices.
  • Working knowledge of UNIX system.

Additional Information

  • To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

MDM Solution Consultant – Intern

In your role for the Company, you will receive training to provide services and solution development, which includes solution architecture design, data analysis, data quality routines and implementation at customer sites. You will develop effective end-to-end data quality solutions, based upon customer project needs; provide consistent, reliable delivery of targeted project results, posturing as an expert in the application and use of specific methodologies, best practices, and technologies.

Requirements

  • Bachelor’s degree in computer science, business or a related field.
  • Working knowledge of relational databases such as Oracle, Db2, SQL Server or Teradata.
  • Programming knowledge and experience of 4GLs.
  • Understanding of client – server architecture.
  • SQL programming and programming of ETL processes.
  • Ability to travel up to 30 percent of the time.
  • Self-driven personality.
  • Eager to learn.
  • Excellent customer-facing skills.
  • Excellent verbal and written communication skills.
  • Ability to communicate with users of various technical backgrounds.

Preferences

  • Programming expertise in one of the following: VB 1+ years, C 1+, Java 1+ SAS 1+ years, or SPSS 1+ years.
  • Industry expertise in financial services, manufacturing, pharmaceuticals, telecommunications, and/or retail.
  • Experience in SQL and DB applications, sizing/performance tuning.
  • Familiarity with data quality tools such as SAS EDI, DataFlux, Trillium, First logic.
  • Understanding of data warehousing concepts and best practices.
  • Working knowledge of UNIX system.

Additional Information

  • To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

Our company is located in San Diego, CA and consists of statisticians, analysts, and software engineers. Our team operates in various industries and offers both products/solutions developed internally as well as products/solutions developed by our established partners. We are committed to making sure that the needs of our clients are met in the best possible way. Our philosophy is to make data mining easy and provide companies with the tools they need to effectively gather the data necessary to make business decisions.

Interested in Modern Analytics?

Apply Now!